Coronary Plaque Burden, as Determined by CardiacComputed Tomography, in Patients with MyocardialInfarction and Angiographically Normal CoronaryArteries Compared to Healthy Volunteers: A ProspectiveMulticenter Observational StudyElin B. Brolin1*, Tomas Jernberg2, Torkel B. Brismar1, Maria Daniel3, Loghman Henareh2,
Jonaz Ripsweden1, Per Tornvall4, Kerstin Cederlund1
1Department of Radiology, Karolinska University Hospital Huddinge and Department of Clinical Science, Intervention and Technology, Division of Medical Imaging and
Technology at Karolinska Institutet, Stockholm, Sweden, 2Department of Medicine, Section of Cardiology, Karolinska University Hospital Huddinge and Karolinska
Institutet, Stockholm, Sweden, 3Cardiology Unit, Department of Medicine, Karolinska University Hospital Solna and Karolinska Institutet, Stockholm, Sweden, 4 Institution
for Clinical Science and Education at Sodersjukhuset, Karolinska Institutet, Stockholm, Sweden
Abstract
Objectives: Patients presenting with acute myocardial infarction and angiographically normal coronary arteries (MINCA)represent a diagnostic and a therapeutic challenge. Cardiac computed tomography (CT) allows detection of coronary arterydisease (CAD) even in the absence of significant stenosis. We aimed to investigate whether patients suffering from MINCAhad a greater coronary plaque burden, as determined by cardiac CT, than a matched group of healthy volunteers.
Methods: Consecutive patients, aged 45 to 70, with MINCA were enrolled in the Stockholm metropolitan area. Patients withmyocarditis were excluded using cardiovascular magnetic resonance imaging. Remaining patients underwent cardiac CT, asdid a reference group of healthy volunteers matched by age and gender, with no known cardiovascular disease. Plaqueburden was evaluated semi-quantitatively on a per patient and a per segment level.
Results: Despite a higher prevalence of smoking and hypertension, patients with MINCA did not have more CAD thanhealthy volunteers. Among 57 MINCA patients and 58 volunteers no signs of CAD were found in 24 (42%) and 25 (43%)respectively. On a per segment level, MINCA patients had less segments with stenosis$20% (2% vs. 5%, p,0.01), as well as asmaller proportion of large (2% vs. 4%, p,0.05) and mixed type plaques (1% vs. 4%, p,0.01). The median coronary calciumscore did not differ between MINCA patients and healthy volunteers (6 vs. 8, ns).
Conclusions: MINCA patients with no or minimal angiographic stenosis do not have more coronary atherosclerosis thanhealthy volunteers, and a large proportion of these patients do not have any signs of CAD, as determined by cardiac CT. TheMINCA patient group is probably heterogeneous, with a variety of different underlying mechanisms. Non-obstructive CAD ismost likely not the most prevalent cause of myocardial infarction in this patient group.
Citation: Brolin EB, Jernberg T, Brismar TB, Daniel M, Henareh L, et al. (2014) Coronary Plaque Burden, as Determined by Cardiac Computed Tomography, inPatients with Myocardial Infarction and Angiographically Normal Coronary Arteries Compared to Healthy Volunteers: A Prospective Multicenter ObservationalStudy. PLoS ONE 9(6): e99783. doi:10.1371/journal.pone.0099783
Editor: Rozemarijn Vliegenthart, University of Groningen, Netherlands
Received January 22, 2014; Accepted May 19, 2014; Published June 17, 2014
Copyright: � 2014 Brolin et al. This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permitsunrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
Funding: This work was supported by the Swedish Heart-Lung Foundation (www.hjart-lungfonden.se) and by the regional agreement on medical training andclinical research (ALF) between Stockholm County Council and Karolinska Institutet. The funders had no role in study design, data collection and analysis, decisionto publish, or preparation of the manuscript.
Competing Interests: The authors have declared that no competing interests exist.
* E-mail: [email protected]
Introduction
In a considerable number of patients presenting with acute
myocardial infarction who undergo conventional coronary angi-
ography, no significant coronary artery stenoses are found. This
condition is called MINCA (myocardial infarction and angio-
graphically normal coronary arteries) or MINOCA (myocardial
infarction and non-obstructed coronary arteries). Depending on
the definition, the reported prevalence of MINCA ranges between
3% and 18% of all acute myocardial infarctions. [1–5] In women,
however, the prevalence has been reported to be as high as 33%.
[4,5] A number of underlying mechanisms have been proposed,
including vasospasm, embolism, disturbed endothelial function
and coronary artery disease (CAD) with occult rupture of non-
stenotic plaque. [6–8] In a clinical setting, Takotsubo cardiomy-
opathy can be considered a subtype of MINCA. For this
condition, often provoked by stress, additional underlying mech-
anisms have been suggested, such as exaggerated sympathetic
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stimulation and catecholamine toxicity. [9,10] Although awareness
of MINCA has increased, there is still a lack of data clarifying its
different aetiologies and mechanisms.
The development of diagnostic imaging methods has provided
new means for understanding MINCA and its underlying causes.
The use of cardiovascular magnetic resonance imaging (CMR) for
instance, enables differentiation between myocarditis and myo-
cardial infarction, as well as diagnosis of Takotsubo cardiomyop-
athy. [1,11] Cardiac computed tomography (CT) has evolved
substantially during the last few years, and has now achieved very
good accuracy when it comes to diagnosing stenoses of the
coronary arteries, as compared to coronary angiography. [12]
Cardiac CT has also proven highly sensitive in detecting
atherosclerotic plaques in the proximal segments of the coronary
arteries, when compared to intravascular ultrasound. [13] An
important difference between conventional coronary angiography
and cardiac CT is the fact that the former only shows the lumen of
the artery, whilst the latter permits visualization of the vascular
wall as well as the lumen. Cardiac CT allows detection and
characterization of coronary atherosclerotic plaques even when
they do not give rise to stenoses and whether they are calcified or
not. Accordingly, cardiac CT makes it possible to assess
atherosclerotic plaques undetected by conventional coronary
angiography.
Previous studies, using intravascular ultrasound or cardiac CT,
have suggested that CAD is an important underlying cause of
MINCA. [7,14–16] However, none of these studies included a
control group. Since other cardiac CT studies including asymto-
matic subjects have demonstrated a non negligible prevalence of
CAD, the question remains whether the CAD shown in MINCA
patients was necessarily the cause of the myocardial infarction.
[17–19].
The present study is a substudy of the SMINC (Stockholm
Myocardial Infarction with Normal Coronaries) study and aims to
examine whether patients suffering from MINCA have more
coronary atherosclerosis, as assessed by cardiac CT, than a
reference group of healthy volunteers [22].
Materials and Methods
Ethics StatementThe study conforms to the principles of the Declaration of
Helsinki and was approved by the Regional Ethical Review Board
in Stockholm (www.epn.se) and by the Radiation Protection
Committee of the Karolinska University Hospital. Written
informed consent was obtained from all patients and healthy
volunteers.
Study GroupBetween June 2007 and May 2011, patients with MINCA were
screened for the SMINC study at five different coronary care units
in the Stockholm metropolitan area, as described by Collste et al.
[22] Patients were eligible to take part in the study if they were
between 35 and 70 years of age, fulfilled the criteria for acute
myocardial infarction according to the universal definition of
myocardial infarction, [20] and underwent a coronary angiogra-
phy showing no or minimal signs of atherosclerosis (defined as the
presence of plaque discernible on coronary angiography, but no
stenosis exceeding 30% by visual estimation). Coronary angiog-
raphy was performed at the time of initial hospital admission,
according to clinical routines, and evaluated using the modified
American Heart Association 17 segment classification. [21]
Exclusion criteria were a patient history of structural or coronary
heart disease, chronic obstructive lung disease, renal disease, the
use of a pacemaker and an electrocardiogram (ECG) on admission
showing non sinus rhythm or a clinical diagnosis of pulmonary
embolism. CMR was performed on all patients in order to exclude
those with myocarditis. [22] After patient inclusion, the coronary
angiogram as well as the clinical diagnosis of acute myocardial
infarction were re-evaluated by an additional investigator. A
reference group of healthy volunteers, matched by age and gender,
with no known cardiovascular disease, was recruited using a
registry comprising all Stockholm residents. Persons of the same
age and gender as MINCA patients were contacted by mail. If
they were willing to participate and had no history of cardiovas-
cular disease they underwent an exercise stress test, and if the test
was normal they were invited to take part in the study.
Out of 152 patients screened for the SMINC study, 100
MINCA patients were after exclusions described above considered
for the present cardiac CT substudy, as well as 100 healthy
volunteers. Accordingly, the MINCA patients of the present study
form a subgroup of the patients studied by Collste et al. [22]
Additional exclusion criteria for the CT study were age under 45
(due to considerations of radiation dose; 5 MINCA patients and 5
control persons), previous adverse reaction to iodinated contrast
media (1 MINCA patient) and an irregular heart rate (jeopardizing
the diagnostic quality of the CT scan; 1 control person). Out of
100 MINCA patients and 100 healthy volunteers, 61 and 58
respectively agreed to take part in the present study. The CT
examinations of the MINCA patients were performed between 3
and 6 months after the acute event.
Cardiac CT Data AcquisitionExaminations were performed on a 64-slice CT scanner
(LightSpeed VCT XT; GE Healthcare, Milwaukee, WI, USA).
A prospectively ECG-triggered scan protocol was used: detector
configuration 6460.625 mm, rotation time 350 ms, tube potential
120 kV, tube current 450–650 mA (according to patient size). The
scans were performed in diastole, in general at 70–75% of the RR
interval, with a padding of 100–200 ms, depending on heart rate
and variability. The contrast agent used was iodixanol 320 mg I/
ml (Visipaque, GE Healthcare, Stockholm, Sweden), which was
administered using a dual-head injector (Medrad, Stellant Dual
Head Injector, Pittsburgh, PA, USA) and a triple-phase protocol.
The contrast agent was individually dosed, based on body weight
(400 mg I/kg, 75–100 ml iodixanol), with a fixed injection time
(15 s), resulting in an injection rate of 5–7 ml/s. This was followed
by a 50 ml mixture of 40% iodixanol and 60% saline and finally
by a 50 ml saline chaser. In the absence of contraindications and
depending on the initial heart rate, patients received metoprolol
(25–100 mg) per os prior to the examination. Patients also
received sublingual nitroglycerine (0.4 mg) 4 minutes before the
scan.
To assess the coronary calcium score, a non-enhanced scan was
performed, using a prospectively ECG-triggered scan protocol:
tube potential 120 kV, tube current 200 mA.
Cardiac CT Data AnalysisThe Cardiac CT exam was analysed independently by three
readers (two experienced readers with level 2 and one reader with
level 1 according to ACCF/AHA levels of competence), [23] who
were blinded to all clinical information. A subsequent joint reading
was performed and a consensus reached.
Cardiac CT data analysis was performed using the CardIQ
Xpress software on the Advantage Workstation 4.4 (GE
Healthcare, Milwaukee, WI, USA). Axial source images, multi-
planar and curved multiplanar reformats as well as thin-slab
maximum intensity projections were used. The optimal image
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display setting for lumen and plaque assessment was chosen on an
individual basis, but in general at a window width of 800–
1000 HU and a level of 100–200 HU. Coronary arteries were
subdivided into 17 segments, according to the modified American
Heart Association classification. [21] Initially, each segment was
assessed regarding image quality and evaluability. Segments were
considered non-evaluable if artifacts prevented reliable assessment
of the lumen or the vessel wall (e. g. due to motion, image noise or
heavy calcification). Secondly, each segment was visually evaluated
with regard to the presence of stenosis (A), plaque size (B) and
composition (C). A plaque was defined as any structure, discernible
in at least two planes, within or adjacent to the vessel lumen, which
could be clearly separated from the vessel lumen and from
adjacent soft tissue.
A. Lesions were quantified for stenosis by visual estimation,
comparing the minimal lumen of the stenotic area with the
lumen of the adjacent proximal unaffected segment, and
expressed in terms of diameter stenosis:,20%, 20–50% or$
50%.
B. The size of the atherosclerotic plaque was determined by
measuring the length of the plaque on longitudinal sections
and arbitrarily classified as: small (,4 mm), medium (4–
8 mm) or large ($8 mm).
C. Plaque composition was visually assessed based on the
presence or absence of calcified elements: non-calcified
coronary artery plaque, mixed coronary artery plaque or
calcified coronary artery plaque, the latter with $50%
calcified tissue. [24].
In the case of more than one atherosclerotic plaque in a single
segment, only the greatest degree of stenosis, the largest plaque
size and the most pronounced calcification was considered.
Coronary Calcium ScoreThe coronary calcium score was calculated using semi-
automatic software (SmartScore 4.0, GE Healthcare, Milwaukee,
WI, USA) on the Advantage Workstation 4.4 (GE Healthcare,
Milwaukee, WI, USA). The total calcium burden of the coronary
arteries was reported in terms of AJ-130 score, based on the
scoring algorithm of Agatston et al. [25].
Statistical AnalysisIn order to evaluate hypotheses of variables in contingency
tables, the chi-square test was used or, in the case of small expected
frequencies, Fisher’s exact two-sided test. Statistical comparisons
for testing differences between two independent groups were made
using the Student’s t-test for uncorrelated means, after validation
of normal distribution by use of the Shapiro Wilk test. In the case
of non-normal distribution the Mann-Whitney test was used. In
addition, descriptive statistics was used to characterize the data. All
analyses were carried out using the SAS system and the 5% levels
of significance were considered. In the case of a statistically
significant result the probability value (p-value) has been given.
Due to the nature of the study, an initial exploratory study, the
sample size was not determined based on power or clinical
difference. The number of patients participating in the study was
chosen for practical reasons, not statistical. However, in order to
estimate statistical power, one could consider the per segment
analysis (n = 765+781) and a binomial endpoint (segment with or
without CAD) and a 5% level of significance. Anticipating a
prevalence of CAD of 10% in the control group and 15% in the
MINCA group would yield a power of 85%.
Results
Of the 119 (61 MINCA+58 volunteers) cardiac CT exams
performed, 4 exams of MINCA patients had to be excluded, 3 due
to motion artifacts resulting in,7 evaluable segments and 1 due to
the heart not being completely covered by the scan. Thus, cardiac
CT exams of 57 MINCA patients and 58 healthy volunteers were
further analyzed. From these exams 15 (1.9%) individual segments
in the MINCA group and 11 (1.4%) in the reference group were
non-evaluable and excluded from analyses. Figure 1 shows an
example of a coronary artery in a MINCA patient, as visualized by
cardiac CT and by conventional coronary angiography. Figure 2
shows examples of different plaque types as seen by cardiac CT.
Baseline characteristics of patients with MINCA and healthy
volunteers are compared in Table 1. Current smoking and treated
hypertension were more common in the MINCA group.
Regarding all other variables the two groups were comparable.
Out of 57 MINCA patients, 56 presented with no signs of heart
failure (Killip class 1) and only one with heart failure, consistent
with Killip class 2. Signs of acute ischemia (ST-T changes or left
bundle branch block) on admission ECG were present in 31 (54%)
MINCA patients, of whom 10 had ST elevations. The median
(IQR) maximum troponin level was 18 (7–43) times greater than
the upper limit of normal. Myocardial infarction was detectable
with CMR in 11 (19%) patients. The criteria for Takotsubo
cardiomyopathy was fulfilled in 15 (26%).
The cardiac CT plaque burden analyses are presented in
Tables 2 and 3, on per patient (Table 2) and per segment (Table 3)
basis, comparing the MINCA group with the reference group. On
a per patient level there were no statistically significant differences in
severity or extent of CAD. Twentyfour (42%) MINCA patients
and 25 (43%) healthy subjects had no signs of CAD. When
analyzing the data on a per segment level, however, there were
statistically significant differences regarding degree of stenosis,
plaque size and plaque composition. MINCA patients had less
segments with stenosis $20% compared to healthy volunteers (2%
vs 5%, p,0.01) They also exhibited a smaller proportion of large
plaques (2% vs 4%, p,0.05) and mixed type coronary artery
plaques (1% vs 4%, p,0.01). The calcium scores within each
group were diverse, but no significant differences were found
between the groups. No differences were found regarding CT
plaque burden when MINCA patients with and without MI
detected by CMR were compared or when MINCA patients with
and without ST elevations were compared (Table S1). Nor were
there any differences in plaque burden between MINCA patients
with and without a diagnosis of Takotsubo cardiomyopathy (Table
S1). No statistically significant difference was demonstrated
regarding peak troponin levels between MINCA patients with
and without CAD. There were no differences in terms of baseline
characteristics when MINCA patients without CAD were com-
pared to those with CAD demonstrated by cardiac CT (Table S2).
Discussion
This study is the first to analyze coronary plaque burden in
patients with MINCA by means of cardiac CT, with a matched
reference group for comparison. The most important finding was
the fact that patients with MINCA did not have more coronary
atherosclerosis than healthy volunteers, despite a higher frequency
of smoking and hypertension in the MINCA group. In addition, a
high proportion of MINCA patients (42%) did not exhibit any
signs of CAD, as demonstrated by cardiac CT, which strongly
suggests that there are underlying causes other than CAD in a
significant number of MINCA patients. A finding that further
strengthens this hypothesis was the fact that MINCA patients had
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a lower rate of large size atherosclerotic plaques and mixed type
coronary artery plaques compared to healthy volunteers. Such
plaque characteristics have been shown to imply a more
vulnerable plaque, more prone to rupture [26–28].
In the literature there are several definitions and terms used to
designate myocardial infarction in the absence of significant CAD.
The term MINOCA (myocardial infarction and non-obstructed
coronary arteries) is often used, since many studies have included
patients with ,50% angiographic stenosis. However, the term
MINCA has been chosen for this study, in order to stress the fact
that only patients with no or minimal signs of atherosclerosis on
coronary angiography were included.
The findings of the current study partly contradict findings of a
recent study by Aldrovandi et al., where only 16% of MINCA
patients had no signs of CAD when examined with cardiac CT.
[16] However, this difference can probably be explained by
different inclusion criteria. In the previous study patients with ,
50% angiographic diameter stenosis were included, whereas in the
current study a more rigorous definition was used, including only
patients with no or minimal signs of atherosclerosis. The mean
degree of stenosis, as determined by cardiac CT, was .30% in the
previous study, whereas the median degree of stenosis in the
present study was ,20%. Hence, applying a more rigorous
definition of ‘‘normal coronary angiogram’’ seems useful in order
to identify a patient group that is far less likely to have CAD. In
addition, only patients with evidence of myocardial infarction on
CMR were included in the study by Aldrovandi et al., whereas the
present study also included patients with smaller myocardial
infarctions, proven by biochemical markers but not detectable by
CMR.
A study by Reynolds et al. supports that CAD is a major cause of
myocardial infarction in patients with higher degrees of non-
obstructive stenosis (,50%) at coronary angiography, but not
necessarily in patients with no or minimal signs of atherosclerosis.
[7] In their study women with myocardial infarction without
angiographically obstructive CAD underwent intravascular ultra-
sound, which revealed plaque ruptures and ulcerations in 38% of
patients. A higher degree of stenosis was found in patients with
plaque disruption (median degree of stenosis 40%) compared to
patients without plaque disruption. One third of patients had no
signs of atherosclerosis on coronary angiography and, interesting-
ly, none of these patients had plaque disruption. Consequently, it
seems likely that the frequency of plaque disruption would be
smaller in the present study group, with less severe CAD.
Figure 1. The right coronary artery in a patient presenting with acute myocardial infarction. Cardiac computed tomography (A) shows alarge atherosclerotic plaque and more distally a small plaque, both with ,20% stenosis. Coronary angiography (B) shows only minimal signs ofatherosclerosis.doi:10.1371/journal.pone.0099783.g001
Figure 2. Different plaque types, as seen by cardiac computed tomography. A non-calcified plaque is shown in longitudinal and crosssection (A and B). The degree of stenosis was 20–50%. A large mixed plaque is shown in longitudinal section (C) and in cross section at the level ofnon calcified (D) and calcified (E) components. A large calcified plaque is shown to the right. (F and G). The mixed and calcified plaques (C to G) wereboth eccentric in location and the degree of stenosis was ,20%.doi:10.1371/journal.pone.0099783.g002
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This study cannot explain the underlying cause of MINCA.
One explanation could be that an important proportion of
MINCA cases are in fact Takotsubo cardiomyopathy, which was
found in 26% of the study group. For the MINCA patients who
had CAD, this may at least for some patients have been the cause
of the myocardial infarction. Plaque disruption with transient
thrombus formation might be one plausible mechanism and
vasospasm another. [7] There was a higher frequency of smoking
in the MINCA group, which may in turn increase the risk of
thrombosis, as well as vasoconstriction. An increased resistance to
activated protein C has been reported in MINCA patients, which
supports the theory that thrombosis is involved in the aetiology of
MINCA [4].
The present study has limitations. Although being the largest
study of its kind, the sample size was limited. Thus, lack of
significant differences may still be caused by lack of power to
detect such differences. However, the data show a tendency
towards more severe CAD in the reference group compared to the
MINCA-group, rather than the other way round.
The fact that MINCA patients, on a per segment level, showed
a lower frequency of stenoses $20% than healthy subjects can
probably be explained by the selection process, where MINCA
patients per definition had no or minimal stenosis as determined
Table 1. Baseline characteristics.
MINCA, n=57 Healthy subjects, n = 58
Age (years) 6065 6166
Female 42 (74%) 39 (67%)
Present smoking 10 (18%) 2 (3%)*
Prior smoking 17 (30%) 23 (40%)
Family history of CAD 16 (28%) 14 (24%)
Diabetes mellitus 1 (2%) 0 (0%)
Treated hypertension 19 (33%) 6 (10%){
Treated hyperlipidemia 8 (14%) 3 (5%)
BMI (kg/m2) 25.863 25.863
Abbreviations: MINCA, myocardial infarction with angiographically normal coronary arteries; CAD, coronary artery disease; BMI, body mass index; SD, standard deviation.Data are presented as mean 6 SD or absolute value (percentage).*P,0.05,{P,0.01, using Fisher’s exact test.doi:10.1371/journal.pone.0099783.t001
Table 2. Cardiac CT plaque burden per patient.
MINCA patients,n = 57
Healthy volunteers,n= 58 P
Severity of CAD* No CAD 24 (42%) 25 (43%) ns
Stenosis ,20% 22 (39%) 23 (40%)
Stenosis 20–50% 11 (19%) 9 (16%)
Stenosis $50% 0 (0%) 1 (2%)
All CAD{ 0 segments 24 (42%) 25 (43%) ns
1 segments 14 (25%) 10 (17%)
2 segments 8 (14%) 12 (21%)
3 segments 4 (7%) 6 (10%)
4 segments 2 (4%) 0 (0%)
5 segments 3 (5%) 1 (2%)
6 segments 0 (0%) 0 (0%)
7 segments 0 (0%) 0 (0%)
8 segments 2 (4%) 1 (2%)
9 segments 0 (0%) 1 (2%)
10 segments 0 (0%) 2 (3%)
Calcium score (AJ-130) 6 (0–778) 8 (0–1882) ns
Abbreviations: Cardiac CT, cardiac computed tomography; MINCA, myocardial infarction with angiographically normal coronary arteries; CAD, coronary artery disease;ns, non significant. Values are presented as absolute value (percentage) or median (range).*refers to the maximum diameter stenosis;{refers to obstructive and non-obstructive CAD.doi:10.1371/journal.pone.0099783.t002
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by conventional coronary angiography. One could argue that the
reference group should have been selected by excluding individ-
uals with angiographic coronary stenoses. This was however not
achievable, since it is not ethically possible to perform invasive
coronary angiography on healthy volunteers. Still, on a per patient
level there were roughly equal numbers of MINCA patients (19%)
and healthy controls (18%) with stenosis $20%. Only 57 of the
initial 100 MINCA patients were included in the cardiac CT
analyses. There were however no differences in baseline charac-
teristics when these patients were compared with the 43 MINCA
patients who did not participate in the cardiac CT study (Table
S3). The study population mainly reflects a northern European
ethnic group, the majority being women, which might affect
generalizability. However, the female predominance is not
surprising, since it reflects the higher prevalence of MINCA in
women compared to men. Although 64 detector cardiac CT has
proven highly sensitive in detecting atherosclerotic plaques, its
spatial resolution is limited, which makes it hazardous to assess
very small structures. A study comparing cardiac CT plaque
detection and quantification with IVUS measures showed a very
good diagnostic accuracy for cardiac CT to detect atherosclerotic
plaques on a segmental level. However, the sensitivity decreased
for smaller plaques and for plaques located more distally in the
coronary arteries. [29] Hence, early coronary atherosclerosis, with
very subtle changes of the vessel wall, as well as distal lesions might
remain undetected by cardiac CT. For the MINCA patients there
was a time span of 3 to 6 months between the acute event and the
CT examination, which might have had minor influence on the
results. A semi-quantitative method was used to estimate plaque
burden. It could be debated whether an automated, non-user
dependent method should have been used. However, such
automated approaches have not been thoroughly validated, whilst
semi-quantitative methods relying on visual assessment for plaque
detection and characterization have been described in several
studies and have been found to entail good intra- and interob-
server variability [30].
The current findings together with findings of previous studies
suggest that patients with MINCA compose a heterogeneous
group, with a variety of underlying causes of the myocardial
infarction. It seems that in patients with moderate angiographic
coronary stenosis, CAD with plaque disruption might be an
important cause of the myocardial infarction, whilst in patients
with no or minimal angiographic stenosis the myocardial
infarction is more likely to have other causes than established
CAD. It is now well recognized that atherosclerosis is a
heterogeneous process, including for instance inflammation and
endothelial dysfunction, and additional research is warranted in
order to investigate the role of these processes in the MINCA
patient group.
Since the prognosis for patients suffering from MINCA is not
benign, [31,32] it is of great importance to further clarify the
underlying mechanisms, in order to offer patients appropriate
treatment and care.
Supporting Information
Table S1 Cardiac CT plaque burden, comparing subgroups of
MINCA patients.
(PDF)
Table S2 Baseline characteristics for MINCA patients with and
without CAD.
(PDF)
Table S3 Baseline characteristics for MINCA patients that
participated and did not participate in the CT substudy.
(PDF)
Author Contributions
Conceived and designed the experiments: EBB TJ TBB MD LH JR PT
KC. Performed the experiments: EBB JR KC. Analyzed the data: EBB TJ
TBB PT KC. Contributed reagents/materials/analysis tools: EBB MD LH
JR PT KC. Wrote the paper: EBB TJ TBB PT KC.
Table 3. Cardiac CT plaque burden per segment.
MINCA patients,765 segments
Healthy volunteers,781 segments P
Severity of CAD No CAD 684 (89%) 687 (88%) ,0.01*
Stenosis ,20% 68 (9%) 58 (7%)
Stenosis 20–50% 13 (2%) 35 (4%)
Stenosis $50% 0 (0%) 1 (0.1%)
Plaque size No CAD 684 (89%) 687 (88%) 0.04*
Small 41 (5%) 31 (4%)
Medium 24 (3%) 29 (4%)
Large 16 (2%) 34 (4%)
Plaque composition No CAD 684 (89%) 687 (88%) 0.04*
Non-calcified plaque 10 (1%) 10 (1%)
Mixed plaque 10 (1%) 28 (4%)
Calcified plaque 61 (8%) 56 (7%)
Abbreviations: Cardiac CT, cardiac computed tomography; MINCA, myocardial infarction with angiographically normal coronary arteries; CAD, coronary artery disease;Values are presented as absolute value (percentage).*P-values apply to the comparison of the four categories in the two columns to the left of the value, using the chi-square test.doi:10.1371/journal.pone.0099783.t003
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Cardiac CT in MINCA Patients and Healthy Volunteers
PLOS ONE | www.plosone.org 7 June 2014 | Volume 9 | Issue 6 | e99783